SMOTEWB (version 1.2.5)

RUS: Random Undersampling (RUS)

Description

Resampling with RUS.

Usage

RUS(x, y, n_neededToRemove = NULL, ...)

Value

a list with resampled dataset.

x_new

Resampled feature matrix.

y_new

Resampled target variable.

Arguments

x

feature matrix.

y

a factor class variable with two classes.

n_neededToRemove

vector of desired number removal for each class. A vector of integers for each class. Default is NULL meaning full balance. Must be equal or lower than the number of samples in each class.

...

not used.

Author

Fatih Saglam, [e-mail]

Details

Random Undersampling (RUS) is a method of removing negative samples until balance is achieved.

Can work with classes more than 2.

Examples

set.seed(1)
x <- rbind(matrix(rnorm(2000, 3, 1), ncol = 2, nrow = 1000),
           matrix(rnorm(100, 5, 1), ncol = 2, nrow = 50))
y <- as.factor(c(rep("negative", 1000), rep("positive", 50)))

plot(x, col = y)

# resampling
m <- RUS(x = x, y = y)

plot(m$x_new, col = m$y_new)